Ruggiero, Matteo, Walker, Stephen G. (2008) Bayesian nonparametric construction of the Fleming-Viot process with fertility selection. Statistica Sinica, 19 (2). pp. 707-720. ISSN 1017-0405. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:12674)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. |
Abstract
This paper provides a construction in the Bayesian framework of the Fleming-Viot measure-valued diffusion with diploid fertility selection, and highlights new connections between Bayesian nonparametrics and population genetics. Via a generalisation of the Blackwell-MacQueen Polya-urn scheme, a Markov particle process is defined such that the associated process of empirical measures converges to the Fleming-Viot diffusion. The stationary distribution, known from Ethier and Kurtz (1994), is then derived through an application of the Dirichlet process mixture model and shown to be the de Finetti measure of the particle process. The Fleming-Viot process with haploid selection is derived as a special case
Item Type: | Article |
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Uncontrolled keywords: | Blackwell-MacQueen urn-scheme; Dirichlet process mixture; fertility selection; Fleming-Viot process; Gibbs sampler |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Judith Broom |
Date Deposited: | 17 Apr 2009 08:45 UTC |
Last Modified: | 05 Nov 2024 09:46 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/12674 (The current URI for this page, for reference purposes) |
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